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  1. Article ; Online: Neoadjuvant mFOLFIRINOX vs mFOLFIRINOX Plus Radiotherapy in Patients With Borderline Resectable Pancreatic Cancer-The A021501 Trial.

    Grossberg, Aaron J / Jethwa, Krishan R / Ellsworth, Susannah G

    JAMA oncology

    2022  Volume 9, Issue 2, Page(s) 275

    MeSH term(s) Humans ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Fluorouracil/therapeutic use ; Neoadjuvant Therapy ; Pancreatic Neoplasms/radiotherapy ; Pancreatic Neoplasms/drug therapy ; Pancreatic Neoplasms
    Chemical Substances Fluorouracil (U3P01618RT)
    Language English
    Publishing date 2022-12-01
    Publishing country United States
    Document type Clinical Trial ; Letter ; Comment
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2022.6135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Spatial Prediction of COVID-19 Pandemic Dynamics in the United States

    Ak, Çiğdem / Chitsazan, Alex D. / Gönen, Mehmet / Etzioni, Ruth / Grossberg, Aaron J.

    ISPRS international journal of geo-information. 2022 Aug. 30, v. 11, no. 9

    2022  

    Abstract: The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others. We used geographically-linked data to test the hypothesis that the risk for COVID-19 was defined by ... ...

    Abstract The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others. We used geographically-linked data to test the hypothesis that the risk for COVID-19 was defined by location and sought to define which demographic features were most closely associated with elevated COVID-19 spread and mortality. We leveraged geographically-restricted social, economic, political, and demographic information from US counties to develop a computational framework using structured Gaussian process to predict county-level case and death counts during the pandemic’s initial and nationwide phases. After identifying the most predictive information sources by location, we applied an unsupervised clustering algorithm and topic modeling to identify groups of features most closely associated with COVID-19 spread. Our model successfully predicted COVID-19 case counts of unseen locations after examining case counts and demographic information of neighboring locations, with overall Pearson’s correlation coefficient and the proportion of variance explained as 0.96 and 0.84 during the initial phase and 0.95 and 0.87 during the nationwide phase, respectively. Aside from population metrics, presidential vote margin was the most consistently selected spatial feature in our COVID-19 prediction models. Urbanicity and 2020 presidential vote margins were more predictive than other demographic features. Models trained using death counts showed similar performance metrics. Topic modeling showed that counties with similar socioeconomic and demographic features tended to group together, and some of these feature sets were associated with COVID-19 dynamics. Clustering of counties based on these feature groups found by topic modeling revealed groups of counties that experienced markedly different COVID-19 spread. We conclude that topic modeling can be used to group similar features and identify counties with similar features in epidemiologic research.
    Keywords COVID-19 infection ; algorithms ; death ; models ; mortality ; normal distribution ; pandemic ; politics ; prediction ; risk ; spatial data ; variance
    Language English
    Dates of publication 2022-0830
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2655790-3
    ISSN 2220-9964
    ISSN 2220-9964
    DOI 10.3390/ijgi11090470
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Diverging metabolic programmes and behaviours during states of starvation, protein malnutrition, and cachexia.

    Olson, Brennan / Marks, Daniel L / Grossberg, Aaron J

    Journal of cachexia, sarcopenia and muscle

    2020  Volume 11, Issue 6, Page(s) 1429–1446

    Abstract: Background: Our evolutionary history is defined, in part, by our ability to survive times of nutrient scarcity. The outcomes of the metabolic and behavioural adaptations during starvation are highly efficient macronutrient allocation, minimization of ... ...

    Abstract Background: Our evolutionary history is defined, in part, by our ability to survive times of nutrient scarcity. The outcomes of the metabolic and behavioural adaptations during starvation are highly efficient macronutrient allocation, minimization of energy expenditure, and maximized odds of finding food. However, in different contexts, caloric deprivation is met with vastly different physiologic and behavioural responses, which challenge the primacy of energy homeostasis.
    Methods: We conducted a literature review of scientific studies in humans, laboratory animals, and non-laboratory animals that evaluated the physiologic, metabolic, and behavioural responses to fasting, starvation, protein-deficient or essential amino acid-deficient diets, and cachexia. Studies that investigated the changes in ingestive behaviour, locomotor activity, resting metabolic rate, and tissue catabolism were selected as the focus of discussion.
    Results: Whereas starvation responses prioritize energy balance, both protein malnutrition and cachexia present existential threats that induce unique adaptive programmes, which can exacerbate the caloric insufficiency of undernutrition. We compare and contrast the behavioural and metabolic responses and elucidate the mechanistic pathways that drive state-dependent alterations in energy seeking and partitioning.
    Conclusions: The evolution of energetically inefficient metabolic and behavioural responses to protein malnutrition and cachexia reveal a hierarchy of metabolic priorities governed by discrete regulatory networks.
    MeSH term(s) Animals ; Cachexia/etiology ; Energy Metabolism ; Homeostasis ; Humans ; Malnutrition ; Starvation
    Language English
    Publishing date 2020-09-28
    Publishing country Germany
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2586864-0
    ISSN 2190-6009 ; 2190-5991
    ISSN (online) 2190-6009
    ISSN 2190-5991
    DOI 10.1002/jcsm.12630
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Quantifying the severity of sarcopenia in patients with cancer of the head and neck.

    Kubrak, Catherine / Martin, Lisa / Grossberg, Aaron J / Olson, Brennan / Ottery, Faith / Findlay, Merran / Bauer, Judith D / Jha, Naresh / Scrimger, Rufus / Debenham, Brock / Chua, Neil / Walker, John / Baracos, Vickie

    Clinical nutrition (Edinburgh, Scotland)

    2024  Volume 43, Issue 4, Page(s) 989–1000

    Abstract: Background & aims: Existing skeletal muscle index (SMI) thresholds for sarcopenia are inconsistent, and do not reflect severity of depletion. In this study we aimed to define criterion values for moderate and severe skeletal muscle depletion based on ... ...

    Abstract Background & aims: Existing skeletal muscle index (SMI) thresholds for sarcopenia are inconsistent, and do not reflect severity of depletion. In this study we aimed to define criterion values for moderate and severe skeletal muscle depletion based on the risk of mortality in a population of patients with head and neck cancer (HNC). Additionally, we aimed to identify clinical and demographic predictors of skeletal muscle depletion, evaluate the survival impact of skeletal muscle depletion in patients with minimal nutritional risk or good performance status, and finally, benchmarking SMI values of patients with HNC against healthy young adults.
    Methods: Population cohort of 1231 consecutive patients and external validation cohorts with HNC had lumbar SMI measured by cross-sectional imaging. Optimal stratification determined sex-specific thresholds for 2-levels of SMI depletion (Class I and II) based on overall survival (OS). Adjusted multivariable regression analyses (tumor site, stage, performance status, age, sex, dietary intake, weight loss) determined relationships between 2-levels of SMI depletion and OS.
    Results: Mean SMI (cm
    Conclusions: Moderate and severe SMI depletion demonstrate discrimination in OS in patients with HNC. Moderate and severe SMI depletion is prevalent in patients with minimal nutrition risk and good performance status. Benchmarking SMI values against healthy young adults exemplifies the magnitude of SMI depletion in patients with HNC and may be a useful method in standardizing SMI assessment.
    MeSH term(s) Young Adult ; Humans ; Male ; Female ; Sarcopenia/etiology ; Tomography, X-Ray Computed/methods ; Muscle, Skeletal/diagnostic imaging ; Muscle, Skeletal/pathology ; Head and Neck Neoplasms/complications ; Head and Neck Neoplasms/pathology ; Retrospective Studies ; Prognosis
    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 604812-2
    ISSN 1532-1983 ; 0261-5614
    ISSN (online) 1532-1983
    ISSN 0261-5614
    DOI 10.1016/j.clnu.2024.02.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Hepatic signal transducer and activator of transcription-3 signalling drives early-stage pancreatic cancer cachexia via suppressed ketogenesis.

    Arneson-Wissink, Paige C / Mendez, Heike / Pelz, Katherine / Dickie, Jessica / Bartlett, Alexandra Q / Worley, Beth L / Krasnow, Stephanie M / Eil, Robert / Grossberg, Aaron J

    Journal of cachexia, sarcopenia and muscle

    2024  

    Abstract: Background: Patients with pancreatic ductal adenocarcinoma (PDAC) often suffer from cachexia, a wasting syndrome that significantly reduces both quality of life and survival. Although advanced cachexia is associated with inflammatory signalling and ... ...

    Abstract Background: Patients with pancreatic ductal adenocarcinoma (PDAC) often suffer from cachexia, a wasting syndrome that significantly reduces both quality of life and survival. Although advanced cachexia is associated with inflammatory signalling and elevated muscle catabolism, the early events driving wasting are poorly defined. During periods of nutritional scarcity, the body relies on hepatic ketogenesis to generate ketone bodies, and lipid metabolism via ketogenesis is thought to protect muscle from catabolizing during nutritional scarcity.
    Methods: We developed an orthotopic mouse model of early PDAC cachexia in 12-week-old C57BL/6J mice. Murine pancreatic cancer cells (KPC) were orthotopically implanted into the pancreas of wild-type, IL-6
    Results: Pre-cachectic PDAC mice did not preserve gastrocnemius muscle mass during 3-day food restriction (-13.1 ± 7.7% relative to food-restricted sham, P = 0.0117) and displayed impaired fatty acid oxidation during fasting, resulting in a hypoketotic state (ketogenic response to octanoate bolus, -83.0 ± 17.3%, P = 0.0328; Hmgcs2 expression, -28.3 ± 7.6%, P = 0.0004). PDAC human patients display impaired fasting ketones (-46.9 ± 7.1%, P < 0.0001) and elevated circulating interleukin-6 (IL-6) (12.4 ± 16.5-fold increase, P = 0.0001). IL-6
    Conclusions: In early PDAC cachexia, muscle vulnerability to wasting is dependent on inflammation-driven metabolic reprogramming in the liver. PDAC suppresses lipid β-oxidation and impairs ketogenesis in the liver, which is reversed in genetically modified mouse models deficient in IL-6/STAT3 signalling or through ketogenic diet supplementation. This work establishes a direct link between skeletal muscle homeostasis and hepatic metabolism. Dietary and anti-inflammatory interventions that restore ketogenesis may be a viable preventative approach for pre-cachectic patients with pancreatic cancer.
    Language English
    Publishing date 2024-04-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2586864-0
    ISSN 2190-6009 ; 2190-5991
    ISSN (online) 2190-6009
    ISSN 2190-5991
    DOI 10.1002/jcsm.13466
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Use of a Therapeutic Trial of Graduated Neoadjuvant Radiation Therapy for Locally Advanced Esophageal Cancer in a Patient With Fanconi Anemia.

    Gardner, Ulysses G / Wood, Stephanie G / Chen, Emerson Y / Greenberger, Joel S / Grossberg, Aaron J

    Advances in radiation oncology

    2021  Volume 7, Issue 1, Page(s) 100810

    Language English
    Publishing date 2021-09-29
    Publishing country United States
    Document type Case Reports
    ISSN 2452-1094
    ISSN 2452-1094
    DOI 10.1016/j.adro.2021.100810
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Validation of automated body composition analysis using diagnostic computed tomography imaging in patients with pancreatic cancer.

    Gunesch, Ali N / Sutton, Thomas L / Krasnow, Stephanie M / Deig, Christopher R / Sheppard, Brett C / Marks, Daniel L / Grossberg, Aaron J

    American journal of surgery

    2022  Volume 224, Issue 2, Page(s) 742–746

    Abstract: Background: Sarcopenia is associated with complications and inferior oncologic outcomes in solid tumors. Axial computed tomography (CT) scans can be used to evaluate sarcopenia, however manual quantification is laborious. We sought to validate an ... ...

    Abstract Background: Sarcopenia is associated with complications and inferior oncologic outcomes in solid tumors. Axial computed tomography (CT) scans can be used to evaluate sarcopenia, however manual quantification is laborious. We sought to validate an automated method of quantifying muscle cross-sectional area (CSA) in patients with pancreatic adenocarcinoma (PDAC).
    Methods: Mid-L3 CT images from patients with PDAC were analyzed: CSAs of skeletal muscle (SM) were measured using manual segmentation and the software AutoMATiCA, and then compared with linear regression.
    Results: Five-hundred-twenty-five unique scans were analyzed. There was robust correlation between manual and automated segmentation for L3 CSA (R
    Conclusions: Automated muscle CSA measurement with AutoMATiCA is highly efficient and yields results highly correlated with manual measurement. These findings support the potential use of high-throughput sarcopenia analysis with abdominal CT scans for both clinical and research purposes.
    MeSH term(s) Adenocarcinoma/complications ; Adenocarcinoma/diagnostic imaging ; Body Composition ; Humans ; Pancreatic Neoplasms/complications ; Pancreatic Neoplasms/diagnostic imaging ; Sarcopenia/complications ; Sarcopenia/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Pancreatic Neoplasms
    Language English
    Publishing date 2022-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2953-1
    ISSN 1879-1883 ; 0002-9610
    ISSN (online) 1879-1883
    ISSN 0002-9610
    DOI 10.1016/j.amjsurg.2022.03.025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Cachexia in Radiotherapy-Treated Patients With Head and Neck Cancer-Reply.

    Grossberg, Aaron J / Mohamed, Abdallah S R / Fuller, Clifton David

    JAMA oncology

    2016  Volume 2, Issue 6, Page(s) 831–832

    MeSH term(s) Cachexia/etiology ; Cachexia/physiopathology ; Head and Neck Neoplasms/complications ; Head and Neck Neoplasms/physiopathology ; Head and Neck Neoplasms/radiotherapy ; Humans ; Muscle, Skeletal/physiopathology ; Muscle, Skeletal/radiation effects ; Radiotherapy/adverse effects ; Sarcopenia/etiology ; Sarcopenia/physiopathology ; Weight Loss/radiation effects
    Language English
    Publishing date 2016-07-28
    Publishing country United States
    Document type Journal Article
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2016.1458
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Quantifying the benefit of non-small-cell lung cancer immunotherapy.

    Ludmir, Ethan B / McCaw, Zachary R / Grossberg, Aaron J / Wei, Lee-Jen / Fuller, C David

    Lancet (London, England)

    2019  Volume 394, Issue 10212, Page(s) 1904

    MeSH term(s) Antibodies, Monoclonal, Humanized ; B7-H1 Antigen ; Carcinoma, Non-Small-Cell Lung ; Humans ; Immunotherapy ; Lung Neoplasms
    Chemical Substances Antibodies, Monoclonal, Humanized ; B7-H1 Antigen ; pembrolizumab (DPT0O3T46P)
    Language English
    Publishing date 2019-09-30
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(19)32503-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Establishment and Validation of Pre-Therapy Cervical Vertebrae Muscle Quantification as a Prognostic Marker of Sarcopenia in Patients With Head and Neck Cancer.

    Olson, Brennan / Edwards, Jared / Degnin, Catherine / Santucci, Nicole / Buncke, Michelle / Hu, Jeffrey / Chen, Yiyi / Fuller, Clifton D / Geltzeiler, Mathew / Grossberg, Aaron J / Clayburgh, Daniel

    Frontiers in oncology

    2022  Volume 12, Page(s) 812159

    Abstract: Background: Sarcopenia is prognostic for survival in patients with head and neck cancer (HNC). However, identification of this high-risk feature remains challenging without computed tomography (CT) imaging of the abdomen or thorax. Herein, we establish ... ...

    Abstract Background: Sarcopenia is prognostic for survival in patients with head and neck cancer (HNC). However, identification of this high-risk feature remains challenging without computed tomography (CT) imaging of the abdomen or thorax. Herein, we establish sarcopenia thresholds at the C3 level and determine if C3 sarcopenia is associated with survival in patients with HNC.
    Methods: This retrospective cohort study was conducted in consecutive patients with a squamous cell carcinoma of the head and neck with cross-sectional abdominal or neck imaging within 60 days prior to treatment. Measurement of cross-sectional muscle area at L3 and C3 levels was performed from CT imaging. Primary study outcome was overall survival.
    Results: Skeletal muscle area at C3 was strongly correlated with the L3 level in both men (n = 188; r = 0.77; p < 0.001) and women (n = 65; r = 0.80; p < 0.001), and C3 sarcopenia thresholds of 14.0 cm
    Conclusions: This study identifies sarcopenia thresholds at the C3 level that best predict L3 sarcopenia in men and women. In HNC, C3-defined sarcopenia is associated with poor survival outcomes in men, but not women, suggesting sarcopenia may differentially affect men and women with HNC.
    Language English
    Publishing date 2022-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.812159
    Database MEDical Literature Analysis and Retrieval System OnLINE

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